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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech
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FieldAllEducation LevelUndergraduate Additional Information Website for additional job details https://arquivo.ciencias.ulisboa.pt/servicosCake/servicoLogos/Concursos/verAnex… https://arquivo.ciencias.ulisboa.pt
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provide further information on diversity and equal opportunities: https://go.fzj.de/equality and on specific support options for women: https://go.fzj.de/womens-job-journey
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developed in inverse problems of topology optimization of the geometry where complex fluid flows occur, with a view to generating a predefined velocity field. Task 6 – Preparation of internal reports
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the contract. A strong background in computational or numerical modelling, preferably with demonstrated experience in one or more of the following: micromagnetic modelling, inverse problems, or nano- to micro
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Biostatisticians Bookmark this Posting Print Preview | Apply for this Job Announcement Details Open
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Previous Job Job Title Senior Data Analyst Next Job Apply for Job Job ID 371739 Location Twin Cities Job Family Research Full/Part Time Full-Time Regular/Temporary Regular Job Code 8353IF Employee
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adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence
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improved performance in tasks of systems analysis like parameter estimation, solving inverse problems, and uncertainty quantification. The successful candidate will join a multi-institution research team